Jul 2025 – Aug 2025 · 1 mo · Gurugram, Haryana, India · On-site

• Developed and backtested systematic trading strategies using Python and C++, ensuring robust performance across diverse market conditions.
• Designed and optimized execution systems with a focus on low-latency and high reliability for real-time trading environments.
• Conducted quantitative research and data analysis on large financial datasets, applying statistical and ML techniques for predictive modeling.
• Collaborated closely with traders and researchers to translate trading ideas into production-ready models, improving strategy deployment efficiency.
• Built and maintained data pipelines and backtesting frameworks to validate strategy performance and risk metrics.

Apr 2025 – Jun 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

• At QiCAP.Ai (HFT), I design and develop ultra-low-latency systems tailored for high-performance trading environments. My core contributions include engineering a custom FlatHashMap optimized with open addressing and backshift deletion, benchmarked against leading libraries (absl, eastl, ankerl) to meet stringent throughput and latency requirements of real-time trading strategies.
• Beyond systems engineering, I’ve led key DevOps initiatives including the design and deployment of a production-grade audit trail system using the ELK stack, implemented Redis ACLs for secure state management, and containerized infrastructure using Docker with configuration automation via Ansible and Terraform.
• On the business infrastructure side, I built end-to-end reporting pipelines within our private cloud to analyze daily SLURM job data and trader compute behavior. This involved generating real-time cost and utilization dashboards, identifying under- or over-provisioned compute usage, and dynamically aligning vCPU/memory allocation per individual trader requirements. These systems directly supported infrastructure cost optimization, resource right-sizing, and scalability planning—delivering actionable insights for the firm's trading resource governance.
• Additionally, I collaborated with the RMS (Risk Management System) team to implement a robust trade reconciliation system ensuring alignment of manual square-offs with exchange records—strengthening auditability and compliance across trade operations.
• Also, I developed a Python-based monitoring solution for the IT/Ops team that automatically flags unresolved issues from daily trading operations, tracks resolution duration, and generates actionable alerts—empowering real-time incident response and improving system reliability.

Nov 2024 – Apr 2025 · 5 mos · Chennai, Tamil Nadu, India · On-site

• At Tiger Analytics, I design and implement scalable ETL pipelines using Azure Data Factory and Databricks, achieving a 40% improvement in data transformation efficiency. I work extensively with Azure Data Lake Storage (ADLS Gen2) to enable optimized storage and seamless data integration.
• I also develop interactive Power BI dashboards to support data-driven decision-making and manage secure access and secrets using Azure RBAC and Azure Key Vault. My responsibilities include monitoring pipeline performance, troubleshooting data issues, and ensuring end-to-end data integrity across systems.
• Additionally, I have worked with Graph Databases (Neo4j) using Cypher to build relationship-based data models and perform complex network analysis.

May 2024 – Oct 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

• As a Full Stack Developer and DSA Mentor at HeyCoach, I was responsible for enhancing web applications and providing comprehensive mentorship in full-stack development and data structures algorithms (DSA). My role involved developing responsive web interfaces using HTML, CSS, JavaScript, and ReactJS, leading to significant improvements in user engagement and operational efficiency. Additionally, I played a key role in curriculum development, integrating advanced DSA and competitive programming concepts, which substantially improved the technical proficiency and placement outcomes of students. I also mentored interns, guiding them in frontend development and algorithmic problem-solving.
• Check out the feedback I received for my work:
• https://docs.google.com/spreadsheets/d/1Q4bZRYFcL4ILxppCf5KDDb4bl6mFbHf-0x4z82zp2Bk/edit?usp=sharing

Jan 2024 – Apr 2024 · 3 mos · Zurich, Switzerland · Remote

• In my role as a Software Engineer Intern at Swar Systems Pvt. Ltd., I focused on improving code quality and maintainability across the company's software projects. I leveraged Visual Studio's debugging tools to identify and resolve critical issues within the codebase, which greatly enhanced the stability and reliability of the applications. I also developed a JUCE-based tool for code scanning and optimization, which significantly boosted code quality and maintainability. My responsibilities included collaborating with the development team to refactor large sections of code, reducing bug reports and improving long-term code health. Additionally, I led the adoption of GitKraken for version control, which streamlined the development process and reduced deployment errors.